pnesden/Qwen2.5-Coder-3B-Round6-oss-only
TEXT GENERATIONConcurrency Cost:1Model Size:3.1BQuant:BF16Ctx Length:32kPublished:May 28, 2026License:apache-2.0Architecture:Transformer Open Weights Warm
The pnesden/Qwen2.5-Coder-3B-Round6-oss-only is a 3.1 billion parameter Qwen2.5-based model, finetuned by pnesden. This model was trained using Unsloth and Huggingface's TRL library, emphasizing efficient training. It is designed for general language tasks, leveraging its Qwen2.5 architecture and efficient finetuning process.
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Model Overview
pnesden/Qwen2.5-Coder-3B-Round6-oss-only is a 3.1 billion parameter language model based on the Qwen2.5 architecture. It was developed by pnesden and finetuned from the unsloth/qwen2.5-coder-3b-bnb-4bit model. A key aspect of its development is the utilization of Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
Key Characteristics
- Architecture: Qwen2.5-based, providing a robust foundation for various language tasks.
- Parameter Count: 3.1 billion parameters, offering a balance between performance and computational efficiency.
- Efficient Training: Leverages Unsloth for accelerated finetuning, indicating a focus on practical deployment and resource optimization.
- Context Length: Supports a context length of 32768 tokens, allowing for processing of substantial input sequences.
Potential Use Cases
- General Language Generation: Suitable for a wide array of text generation tasks due to its Qwen2.5 base.
- Applications Requiring Efficiency: Its optimized training suggests it could be a good fit for scenarios where faster iteration or lower training costs are beneficial.
- Research and Development: Provides a foundation for further experimentation and finetuning on specific datasets.